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Deep Variational Multivariate Information Bottleneck - A Framework for Variational Losses
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Diffeomorphism-based feature learning using Poincaré inequalities on augmented input space
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Finite Expression Method for Solving High-Dimensional Partial Differential Equations
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Optimal and Efficient Algorithms for Decentralized Online Convex Optimization
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Characterizing Dynamical Stability of Stochastic Gradient Descent in Overparameterized Learning
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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PREMAP: A Unifying PREiMage APproximation Framework for Neural Networks
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Score-Aware Policy-Gradient and Performance Guarantees using Local Lyapunov Stability
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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On the O(sqrt(d)/T^(1/4)) Convergence Rate of RMSProp and Its Momentum Extension Measured by l_1 Norm
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Categorical Semantics of Compositional Reinforcement Learning
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Transformers from Diffusion: A Unified Framework for Neural Message Passing
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Actor-Critic learning for mean-field control in continuous time
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Modelling Populations of Interaction Networks via Distance Metrics
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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BitNet: 1-bit Pre-training for Large Language Models
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Physics-informed Kernel Learning
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Last-iterate Convergence of Shuffling Momentum Gradient Method under the Kurdyka-Lojasiewicz Inequality
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Posterior and Variational Inference for Deep Neural Networks with Heavy-Tailed Weights
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RL
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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